相关实验视频

Updated: Jun 14, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

523

大型语言模型可以在一个提示符中实现社交媒体集体的感应主题分析:人类验证研究

Michael S Deiner1, Vlad Honcharov2,3, Jiawei Li4

  • 1Department of Ophthalmology and Francis I Proctor Foundation, University of California San Francisco, San Francisco, CA, United States.

JMIR infodemiology
|August 29, 2024
PubMed
概括

大型语言模型 (LLM) 可以有效地分析社交媒体的健康内容,识别相关主题和合理的主题. 虽然不完全复制人类的深度,LLMs显示公共卫生社会倾听的希望.

关键词:
在 COVID-19 疫情中,克劳德·克劳德·克劳德 (Claude Claude) 是一个在 GPT 中,GPT 必须是 GPT.他们的推特是Twitter.X以前被称为Twitter.生成型的大型语言模型发电预训练变压器 预训练变压器诱导性内容分析 诱导性内容分析传染病学是传染病学.社交媒体 社交媒体疫苗的犹 疫苗的犹

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